Cargando…
The performance of inverse probability of treatment weighting and full matching on the propensity score in the presence of model misspecification when estimating the effect of treatment on survival outcomes
There is increasing interest in estimating the causal effects of treatments using observational data. Propensity-score matching methods are frequently used to adjust for differences in observed characteristics between treated and control individuals in observational studies. Survival or time-to-even...
Autores principales: | Austin, Peter C, Stuart, Elizabeth A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5564952/ https://www.ncbi.nlm.nih.gov/pubmed/25934643 http://dx.doi.org/10.1177/0962280215584401 |
Ejemplares similares
-
Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score
por: Austin, Peter C.
Publicado: (2021) -
Model misspecification and bias for inverse probability weighting estimators of average causal effects
por: Waernbaum, Ingeborg, et al.
Publicado: (2022) -
Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies
por: Austin, Peter C., et al.
Publicado: (2015) -
Estimating the effect of treatment on binary outcomes using full matching on the propensity score
por: Austin, Peter C, et al.
Publicado: (2015) -
Role of prophylactic cranial irradiation for elderly patients with limited-disease small-cell lung cancer: inverse probability of treatment weighting using propensity score
por: Kim, Tae Gyu, et al.
Publicado: (2019)